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Data Engineering eBook and Tutorial
Original price was: ₹2,500.00.₹2,200.00Current price is: ₹2,200.00.
15 Chapter Titles
- Introduction to Data Engineering and Its Ecosystem
- Understanding Data Architectures and Modern Data Platforms
- Data Ingestion: Techniques, Tools, and Best Practices
- ETL and ELT Processes: Building Efficient Data Pipelines
- Data Storage Systems: Databases, Data Lakes, and Warehouses
- Data Modeling and Schema Design
- Data Processing with Python and Apache Spark
- Working with SQL for Data Transformation and Analytics
- Workflow Orchestration Using Apache Airflow
- Data Quality, Validation, and Governance
- Big Data Frameworks: Hadoop, Spark, and Beyond
- Streaming Data Pipelines and Real-Time Analytics
- Cloud Data Engineering: AWS, Azure, and Google Cloud
- Data Security, Privacy, and Compliance in Engineering
- End-to-End Data Engineering Project with Exercises and Solutions
🚀 Mastering Data Engineering
Concepts, Examples, Exercises & Real-World Solutions
By Global Skills Institute
In today’s data-driven economy, organizations don’t just need data — they need robust, scalable, intelligent data systems.
This comprehensive tutorial is your complete roadmap to becoming a confident Data Engineer, covering everything from foundational concepts to real-world cloud deployment and career strategy.
💡 Why This Tutorial Is Different
Unlike scattered online resources, this guide delivers:
✔ 15 structured, industry-aligned chapters
✔ Real-world architecture examples
✔ Hands-on Python, SQL & PySpark implementations
✔ ETL & ELT pipeline design
✔ Cloud platforms (AWS, Azure, GCP)
✔ Data Lake & Lakehouse architecture
✔ Airflow orchestration & automation
✔ Streaming pipelines with Kafka & Spark
✔ Data governance, quality & security frameworks
✔ Capstone end-to-end project
✔ Exercises with detailed solutions
This is not just theory — it is implementation-ready knowledge.
🎯 What You Will Gain
🔹 Design scalable batch & real-time data pipelines
🔹 Master ETL/ELT workflows
🔹 Build modern data warehouses & data lakes
🔹 Implement streaming analytics
🔹 Automate workflows using Apache Airflow
🔹 Deploy cloud-native data architectures
🔹 Apply governance, security & compliance standards
🔹 Prepare for certifications (AWS, Azure, GCP, Databricks)
🏆 Designed For
• Aspiring Data Engineers
• Software Developers transitioning to Data
• Data Analysts upgrading to Engineering roles
• Cloud & DevOps Professionals
• AI/ML Engineers
• IT & Engineering Students
• Corporate Training Programs
🌍 Industry-Relevant & Career-Focused
This tutorial also includes:
✔ Career roadmap & salary insights
✔ Certification guidance
✔ Global & Indian vendor ecosystem overview
✔ Emerging trends: DataOps, Lakehouse, Serverless, AI-driven pipelines
✔ Practical self-assessment exercises
You don’t just learn tools — you learn how the global data ecosystem operates.
📈 Your Competitive Advantage
Data Engineering is among the highest-paying and fastest-growing careers worldwide.
This tutorial equips you with the skills, architecture mindset, and implementation expertise required to compete at a global level.
If you want to move from learning concepts to building production-ready systems, this tutorial is your strategic advantage.






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